DataDreamer
Visit ToolDataDreamer is an open-source Python library for synthetic data generation and training workflows. It allows users to prompt, generate synthetic datasets, and train/align models efficiently.
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DataDreamer is an open-source Python library for synthetic data generation and training workflows. It allows users to prompt, generate synthetic datasets, and train/align models efficiently.
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Also listed in
About
DataDreamer is a powerful open-source Python library designed for prompting, synthetic data generation, and training workflows. It enables users to create and run complex, multi-step prompting workflows with major open-source or API-based LLMs. The library facilitates the generation of synthetic datasets for novel tasks or the augmentation of existing datasets using LLMs. Additionally, DataDreamer supports various model training processes, including fine-tuning, instruction-tuning, and distillation, on both existing and synthetic data. It emphasizes simplicity, efficiency through aggressive caching and resumability, and reproducibility, making it suitable for research-grade projects and easy sharing of workflows, datasets, and models.
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Open Source
Free
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